Question 1

A European health care company uses Cloud Pub/Sub as part of a data processing pipeline. The CTO of the company is concerned that data might accidentally be written to a region outside the European Union, which would violate the GDPR regulation. What would you recommend the company does to ensure data stays within Google Cloud regions in the European Union?

Options :

A : Set a Resource Location Restriction organization policy to ensure all topics are stored only in acceptable regions.

B : Set a Resource Location Restriction organization policy to ensure all buckets are stored only in acceptable regions.

C : Only define Cloud Pub/Sub endpoints in acceptable regions when creating topics.

D : Only define Cloud Pub/Sub endpoints in acceptable regions when creating subscriptions.

Answer: A

Question 2

Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?

Options :

A : An hourly watermark

B : An event time trigger

C : The with Allowed Lateness method

D : A processing time trigger

Answer: D

Question 3

A manufacturer of delivery drones is implementing a new data analysis pipeline to detect part failures before they occur. The drones have multiple sensors that send performance and environment data to an analytics pipeline. Currently, data is sent to a REST API endpoint. The REST API endpoint that receives data cannot always keep up with the pace data is arriving. When that happens, data is lost. Machine learning engineers have asked you to change the ingestion process to reduce this data loss. What would you do?

Options :

A : Write data to a Cloud Pub/Sub topic instead of a REST API endpoint and have the ingestion application read from the topic.

B : Write data to a Cloud Storage bucket instead of a REST API endpoint and have the ingestion application read from the bucket.

C : Write data to a Cloud SQL Postgres database endpoint and have the ingestion application query the database.

D : Create a Hadoop cluster in Compute Engine using managed instance groups and write data to an Hbase database and have the application query the database.

Answer: A

Question 4

Your company is running their first dynamic campaign, serving different offers by analyzing real-time data during the holiday season. The data scientists are collecting terabytes of data that rapidly grows every hour during their 30-day campaign. They are using Google Cloud Dataflow to preprocess the data and collect the feature (signals) data that is needed for the machine learning model in Google Cloud Bigtable. The team is observing suboptimal performance with reads and writes of their initial load of 10 TB of data. They want to improve this performance while minimizing cost. What should they do?

Options :

A : Redefine the schema by evenly distributing reads and writes across the row space of the table.

B : The performance issue should be resolved over time as the site of the BigDate cluster is increased.

C : Redesign the schema to use a single row key to identify values that need to be updated frequently in the cluster.

D : Redesign the schema to use row keys based on numeric IDs that increase sequentially per user viewing the offers.

Answer: A

Question 5

You use a dataset in BigQuery for analysis. You want to provide third-party companies with access to the same dataset. You need to keep the costs of data sharing low and ensure that the data is current. Which solution should you choose?

Options :

A : Create an authorized view on the BigQuery table to control data access, and provide third-party companies with access to that view.

B : Use Cloud Scheduler to export the data on a regular basis to Cloud Storage, and provide third-party companies with access to the bucket.

C : Create a separate dataset in BigQuery that contains the relevant data to share, and provide third-party companies with access to the new dataset.

D : Create a Cloud Dataflow job that reads the data in frequent time intervals, and writes it to the relevant BigQuery dataset or Cloud Storage bucket for third-party companies to use.

Answer: B

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